83 datasets found
  1. w

    U.S. Army Corps of Engineers (USACE) Civil Works Districts

    • data.wu.ac.at
    • azgeo-data-hub-agic.hub.arcgis.com
    • +3more
    Updated Jul 3, 2018
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    Department of Homeland Security (2018). U.S. Army Corps of Engineers (USACE) Civil Works Districts [Dataset]. https://data.wu.ac.at/odso/data_gov/OTdiZDhlNGUtMGYwNy00N2I3LWE5YjItY2I3MmQ1NzNmZTk2
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    Dataset updated
    Jul 3, 2018
    Dataset provided by
    Department of Homeland Security
    Description

    Polygons showing USACE Civil Works District boundaries. This dataset was digitized from the NRCS Watershed Boundary Dataset (WBD). Where districts follow administrative boundaries, such as County and State lines, National Atlas and Census datasets were used. USACE District GIS POCs also submitted data to incorporate into this dataset. This dataset has been simplified +/- 30 feet to reduce file size and speed up drawing time.

  2. USACE GIS Open Data Portal

    • data.cnra.ca.gov
    Updated Jul 18, 2020
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    United States Army Corps of Engineers (2020). USACE GIS Open Data Portal [Dataset]. https://data.cnra.ca.gov/dataset/usace-gis-open-data-portal
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    Dataset updated
    Jul 18, 2020
    Dataset authored and provided by
    United States Army Corps of Engineershttp://www.usace.army.mil/
    Description

    The U.S. Army Corps of Engineers Geospatial Open Data provides shared and trusted USACE geospatial data, services and applications for use by our partner agencies and the public.

  3. d

    Circa 1932 Land Area in Coastal Louisiana - Original Data Source Corps of...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Circa 1932 Land Area in Coastal Louisiana - Original Data Source Corps of Engineers - Revisions to geo-rectification [Dataset]. https://catalog.data.gov/dataset/circa-1932-land-area-in-coastal-louisiana-original-data-source-corps-of-engineers-revision
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Louisiana
    Description

    The dataset presented here represents a circa 1932 land/water delineation of coastal Louisiana used in part of a larger study to quantify landscape changes from 1932 to 2016. The original dataset was created by Dunbar, and Britsch, and Kemp (2006). The original dataset is citable as: Dunbar, J. B. and Britsch, L. D., 2006. Land Loss in Coastal Louisiana 1932-2001. Map 1. Engineer Research and Development Center, Vicksburg, MS, Technical Report, ERDC/GSL TR-05-13, Land Loss Map 1 through 7. The USGS Wetland and Aquatic Research Center altered the original data by improving the geo-rectification in specific areas known to contain geo-rectification error, most notably in coastal wetland areas in the vicinity of Four League Bay in western Terrebonne Basin. The dataset contains two categories, land and water. For the purposes of this effort, land includes areas characterized by emergent vegetation, upland, wetland forest, or scrub-shrub were classified as land, while open water, aquatic beds, and mudflats were classified as water. For additional information regarding this dataset (other than geo-rectification revisions), please contact the dataset originator, the U.S. Army Corps of Engineers (USACE).

  4. Formerly Used Defense Sites (FUDS), all data FY22

    • geospatial-usace.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jun 10, 2024
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    usace_crrel_als (2024). Formerly Used Defense Sites (FUDS), all data FY22 [Dataset]. https://geospatial-usace.opendata.arcgis.com/maps/3f8354667d5b4b1b8ad7a6e00c3cf3b1
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    Dataset updated
    Jun 10, 2024
    Dataset provided by
    United States Army Corps of Engineershttp://www.usace.army.mil/
    Authors
    usace_crrel_als
    Area covered
    North Pacific Ocean, Pacific Ocean
    Description

    Property and Project geospatial data. Interim Risk Management Data. FUDS Program Division and District Boundaries.

  5. a

    USACE Regulatory Boundary

    • hub.arcgis.com
    • data-algeohub.opendata.arcgis.com
    • +1more
    Updated Jun 24, 2021
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    Alabama GeoHub (2021). USACE Regulatory Boundary [Dataset]. https://hub.arcgis.com/maps/40cd5f67544b4df3abffa5453816ce65
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    Dataset updated
    Jun 24, 2021
    Dataset authored and provided by
    Alabama GeoHub
    Area covered
    Description

    The US Army Corps of Engineers has been regulating activities in the nation's waters since 1890. Until the 1960s the primary purpose of the regulatory program was to protect navigation. Since then, as a result of laws and court decisions, the program has been broadened so that it now considers the full public interest for both the protection and utilization of water resources. These boundaries represent USACE regulatory districts. Attribute information includes an address, telephone number and url for each district. Metadata

  6. National Levee Database

    • resilience.climate.gov
    • community-climatesolutions.hub.arcgis.com
    • +5more
    Updated Jun 18, 2021
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    Esri U.S. Federal Datasets (2021). National Levee Database [Dataset]. https://resilience.climate.gov/maps/87acff1ba86c40098b59472292de3d11
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    Dataset updated
    Jun 18, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    National Levee DatabaseThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Army Corps of Engineers (USACE), displays levees within the United States. Per USACE, "The National Levee Database captures all known levees in the United States. It provides users with the ability to search for specific data about levees and serves as a national resource to support awareness and preparedness around flooding. The USACE is responsible for maintaining the National Levee Database and works in partnership with the Federal Emergency Management Agency (FEMA), and in close collaboration with other federal, state, and local governments and entities responsible for levees to obtain and share accurate and complete information."Leveed area in Morrisville, PennsylvaniaData downloaded: 4/24/2024Data source: NLD 2 PublicNGDAID: 161 (National Levee Database)OGC API Features Link: (National Levee Database - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: National Levee DatabaseSupport documentation: NLD Data DictionaryFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Water - Inland Theme Community. Per the Federal Geospatial Data Committee (FGDC), Water - Inland is defined as the "interior hydrologic features and characteristics, including classification, measurements, location, and extent. Includes aquifers, watersheds, wetlands, navigation, water quality, water quantity, and groundwater information."For other NGDA Content: Esri Federal Datasets

  7. W

    National Levee Database Centerlines

    • wifire-data.sdsc.edu
    csv, esri rest +4
    Updated Jul 2, 2019
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    CA Governor's Office of Emergency Services (2019). National Levee Database Centerlines [Dataset]. https://wifire-data.sdsc.edu/dataset/national-levee-database-centerlines
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    zip, geojson, esri rest, html, csv, kmlAvailable download formats
    Dataset updated
    Jul 2, 2019
    Dataset provided by
    CA Governor's Office of Emergency Services
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description
    The National Levee Database is a Congressionally authorized database that documents levees in the United States. The NLD is maintained and published by the U.S. Army Corps of Engineers (USACE).

    The NLD contains information about the condition and risk information for approximately 2,000 levee systems (approximately 15,000 miles/mostly levees affiliated with USACE programs. An additional 6,000 levee systems--approximately 15,000 miles--have location information, but little to no information about condition and risk. One of the goals for the NLD is to include data about levees owned and operated by all other federal agencies, tribes, states, municipalities, levee boards, and private entities. This information will be added as it becomes available.

    United State Army Corps of Engineers NLD mission statement.

    The full NLD as an AGOL Feature Layer.
  8. u

    Tecoloate Creek Watershed (1306000103) ERDC Inundation Map Book

    • gstore.unm.edu
    zip
    Updated Jul 29, 2022
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    Earth Data Analysis Center (2022). Tecoloate Creek Watershed (1306000103) ERDC Inundation Map Book [Dataset]. https://gstore.unm.edu/apps/rgis/datasets/c6dcb6a7-714e-43d6-96b6-2650eabee062/metadata/FGDC-STD-001-1998.html
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    zip(49)Available download formats
    Dataset updated
    Jul 29, 2022
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Jul 29, 2022
    Area covered
    West Bounding Coordinate -109.0 East Bounding Coordinate -103.0 North Bounding Coordinate 36.98 South Bounding Coordinate 31.95, Unknown
    Description

    The flood plains were created using the USACE Engineering Research Development Center – AutoRoute hydraulic modeling software. AutoRoute utilizes a steady-state, normal flow solver, making AutoRoute incapable of assessing some of the more typical, yet complex, hydraulic phenomena, such as backwater effects. The floodplains were developed to rapidly assess the increased flood risk that is generally associated with post-wildfire hydrology or large changes to a watershed from a wildfire. The floodplains are intended to be used as a tool by flood disaster responders and other officials so they can prepare resources for a potential post-wildfire flood event. The limits of flooding shown should only be used as a guideline for emergency planning and response actions. A detailed hydrologic and hydraulic calibration effort was not completed to validate the results of this assessment.

  9. u

    United States Army Corps of Engineers

    • gstore.unm.edu
    zip
    Updated Mar 31, 2023
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    Earth Data Analysis Center (2023). United States Army Corps of Engineers [Dataset]. https://gstore.unm.edu/apps/rgis/datasets/710e262e-1377-44b2-8fe5-99fb64273c7d/metadata/FGDC-STD-001-1998.html
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    zip(186)Available download formats
    Dataset updated
    Mar 31, 2023
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Sep 29, 2022
    Area covered
    West Bounding Coordinate -109.0 East Bounding Coordinate -103.0 North Bounding Coordinate 36.98 South Bounding Coordinate 31.95, Unknown
    Description

    The flood plains were created using the USACE Engineering Research Development Center – AutoRoute for all areas with the exception of using the USACE Engineering Research Development Center – River Analysis System (HEC-RAS) hydraulic modeling software, version 6.2 in the Mora area. AutoRoute utilizes a steady-state, normal flow solver, making AutoRoute incapable of assessing some of the more typical, yet complex, hydraulic phenomena, such as backwater effects. HEC-RAS utilizes a two-dimensional (2D) unsteady flow analysis algorithm. This analysis incorporated breaklines and 2D mesh modifications to better represent terrain features in the simulation. Wood and scrub vegetation features were not represented in the bare earth LIDAR but were considered via Manning’s roughness values. Bridges and buildings were not included in the bare earth LiDAR terrain surface and were not implemented via modifications in HEC-RAS RASMapper. The floodplains were developed to rapidly assess the increased flood risk that is generally associated with post-wildfire hydrology or large changes to a watershed from a wildfire. The floodplains are intended to be used as a tool by flood disaster responders and other officials so they can prepare resources for a potential post-wildfire flood event. The limits of flooding shown should only be used as a guideline for emergency planning and response actions. A detailed hydrologic and hydraulic calibration effort was not completed to validate the results of this assessment.

  10. US Principal Ports

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 18, 2011
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    US National Oceanic and Atmospheric Administration (NOAA) (2011). US Principal Ports [Dataset]. https://koordinates.com/layer/20705-us-principal-ports/
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    dwg, geodatabase, csv, geopackage / sqlite, mapinfo mif, shapefile, mapinfo tab, pdf, kmlAvailable download formats
    Dataset updated
    Dec 18, 2011
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    US National Oceanic and Atmospheric Administration (NOAA)
    Area covered
    Description

    Principal Ports are politically defined by port limits or US Army Corps of Engineers (USACE) projects, exclude non-USACE projects not authorized for publication. The determination for the published Principal Ports is based upon the total tonnage for the port for the particular year; therefore the top 150 list can vary from year to year. The Principal Port file contains USACE port codes, names, and commodity tonnage summaries (total tons, domestic, foreign, imports and exports).

    © U.S. Army Corps of Engineers This layer is a component of Navigation and Marine Transportation.

    Marine Cadastre themed service for public consumption featuring layers associated with navigation and marine transportation.

    This map service presents spatial information about MarineCadastre.gov services across the United States and Territories in the Web Mercator projection. The service was developed by the National Oceanic and Atmospheric Administration (NOAA), but may contain data and information from a variety of data sources, including non-NOAA data. NOAA provides the information “as-is” and shall incur no responsibility or liability as to the completeness or accuracy of this information. NOAA assumes no responsibility arising from the use of this information. The NOAA Office for Coastal Management will make every effort to provide continual access to this service but it may need to be taken down during routine IT maintenance or in case of an emergency. If you plan to ingest this service into your own application and would like to be informed about planned and unplanned service outages or changes to existing services, please register for our Data Services Newsletter (http://coast.noaa.gov/digitalcoast/publications/subscribe). For additional information, please contact the NOAA Office for Coastal Management (coastal.info@noaa.gov).

    © MarineCadastre.gov

  11. a

    USACE SPGP V-R1 Regulatory Permit Review, SJRWMD

    • data-floridaswater.opendata.arcgis.com
    • hub.arcgis.com
    Updated Feb 11, 2019
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    SJRWMDOpenData (2019). USACE SPGP V-R1 Regulatory Permit Review, SJRWMD [Dataset]. https://data-floridaswater.opendata.arcgis.com/maps/9102941cf2294283971411d8cda4578a
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    Dataset updated
    Feb 11, 2019
    Dataset authored and provided by
    SJRWMDOpenData
    Area covered
    Description

    These datasets were acquired from the U. S. Fish and Wildlife Service (USFWS) for use in State Programmatic General Permit (SPGP) assessment by district staff. U.S. Army Corps of Engineers permits administered by the district SPGP V-R1 On December 31, 2018, the U.S. Army Corps of Engineers (USACE) issued a revision to the State Programmatic General Permit (previously SPGP V, now SPGP V-R1) that authorizes the Florida Department of Environmental Protection, and any water management district that enters into a coordination agreement with USACE, to issue a permit on behalf of USACE for certain types of projects with relatively minor impacts to wetlands or surface waters. This authorization is limited to the following types of projects: (1) shoreline stabilization, (2) boat ramps, (3) docks, piers and other minor piling supported structures, (4) maintenance dredging of canals and channels, and (5) minor transient projects (such as marine debris removal, scientific surveys, and aquatic habitat enhancement projects). On December 19, 2018, the St. Johns River Water Management District (District) entered into a coordination agreement with USACE that allows the district to grant federal authorization on behalf of USACE under the SPGP V-R1.These data have been projected from the originating agencies specifically for geospatial analysis by SJRWMD staff for USACE State Programmatic General Permit (SPGP) V-R1 permit review. FDEP has published its own web map and feature service for SPGP review. USFWS has published many of the data they are stewards of. If for other purposes than SPGP V-R1 permit review at SJRWMD, please defer to the originating agencies for their authoritative GIS data.For additional information:https://floridadep.gov/water/submerged-lands-environmental-resources-coordination/content/federal-permits-and-coordinationhttps://www.saj.usace.army.mil/SPGP/Permitting documents for St. Johns River Water Management District (sjrwmd.com)

  12. g

    U.S. Geological Survey and U.S. Army Corps of Engineers Bathymetric Survey...

    • gimi9.com
    Updated Jun 16, 2021
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    (2021). U.S. Geological Survey and U.S. Army Corps of Engineers Bathymetric Survey of Lake Koocanusa, Lincoln County, Montana, 2016—2018 | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_u-s-geological-survey-and-u-s-army-corps-of-engineers-bathymetric-survey-of-lake-koocanusa
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    Dataset updated
    Jun 16, 2021
    Area covered
    Lincoln County, Lake Koocanusa, Montana
    Description

    In 2016, the U.S. Army Corps of Engineers (USACE) started collecting high-resolution multibeam echosounder (MBES) data on Lake Koocanusa. The survey originated near the International Boundary (River Mile (RM) 271.0) and extended down the reservoir, hereinafter referred to as downstream, about 1.4 miles downstream of the Montana 37 Highway Bridge near Boulder Creek (about RM 253). USACE continued the survey in 2017, completing a reach that extended from about RM 253 downstream to near Tweed Creek (RM 244.5). In 2018, the U.S. Geological Survey (USGS) Idaho Water Science Center completed the remaining portion of the reservoir from RM 244.5 downstream to Libby Dam (RM 219.9). The MBES data collected in 2016 and 2017 by the USACE was combined with the MBES data collected in 2018 by the USGS. The USGS also developed a stage-area-capacity table at one-foot intervals from the minimum pool elevation (2,290.84 ft) to the maximum pool elevation (2462.84 ft) using the new bathymetry data. The updated stage-area-capacity table will be compared to the current usable storage estimate of 4,979,500 acre-feet and published in a USGS Scientific Investigations Map. A 10-ft digital elevation model (DEM) and minimum and maximum pool contours also were generated from the bathymetric data and are provided in this data release.

  13. North Atlantic Division

    • jalbtcx-usace.hub.arcgis.com
    • catalog.data.gov
    • +2more
    Updated Feb 6, 2020
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    usace_sam_css (2020). North Atlantic Division [Dataset]. https://jalbtcx-usace.hub.arcgis.com/maps/d5c61a9f97b045cab5a48cb45b14026f
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    Dataset updated
    Feb 6, 2020
    Dataset provided by
    United States Army Corps of Engineershttp://www.usace.army.mil/
    Authors
    usace_sam_css
    Area covered
    Description

    JALBTCX National Coastal Mapping Program Derived Products: Great Lakes & Ohio River DivisionThe layers depicted in this web map were developed to serve regional geospatial data needs of USACE Districts and agency partners to discover and download products derived from USACE National Coastal Mapping Program (NCMP) high resolution, topo-bathymetric lidar and imagery. The USACE NCMP acquires high-resolution, high-accuracy topographic/bathymetric lidar elevation and imagery on a recurring basis along the sandy shorelines of the US. The program's survey footprint includes an approximately 1-mile wide swath of topography, bathymetry and imagery 500-m onshore and 1000-m offshore. The standard suite of NCMP data products include topographic/bathymetric lidar point clouds, digital surface and elevation models, shoreline vectors and both true-color and hyperspectral imagery mosaics. Value-added derivative information products may include laser reflectance images, landcover classification images, volume change metrics, and the products to help address District project requirements. USACE Headquarters initiated the NCMP in 2004. The program's update cycle follows counter-clockwise along the US West Coast, Gulf Coast, East Coast and Great Lakes approximately every 5 years. Surveys in support of USACE project-specific missions and external partners are included constituent to the current NCMP schedule and reimbursable funding. All work is coordinated with Federal mapping partners through the Interagency Working Group on Ocean and Coastal Mapping (IWGOCM) and the 3D Elevation Program (3DEP).NCMP operations are executed by the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). The JALBTCX mission is to perform operations, research and development in airborne lidar bathymetry and complementary technologies to support the coastal mapping and charting requirements of the US Army Corps of Engineers, the US Naval Meteorology and Oceanography Command and the National Oceanic and Atmospheric Administration. Survey operations are conducted worldwide using the Coastal Zone Mapping and Imaging (CZMIL) system and other industry-based coastal mapping and charting systems. CZMIL is JALBTCX's in-house survey capability that includes and Optech International, CZMIL 03-1 lidar instrument with simultaneous topographic and bathymetric capabilities. CZMIL is integrated with an Itres CASI-1500 hyperspectral imager and an 80 MP Leica RCD30 RGBN camera. CZMIL collects 10-kHz lidar data with spatially- and temporally-concurrent digital true-color and hyperspectral imagery.

  14. w

    Data Quality Assessment Areas - USACE IENC

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    • +1more
    Updated Jul 3, 2018
    + more versions
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    Department of Homeland Security (2018). Data Quality Assessment Areas - USACE IENC [Dataset]. https://data.wu.ac.at/odso/data_gov/MzhjNWY0YzQtMWEzYy00OWE1LTlhNWUtNDFlZDIwMDlmZjk1
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    Dataset updated
    Jul 3, 2018
    Dataset provided by
    Department of Homeland Security
    Description

    These inland electronic Navigational charts (IENCs) were developed from available data used in maintenance of Navigation channels. Users of these IENCs should be aware that some features and attribute information could have significant inaccuracies due to changing waterway conditions, inaccurate source data, or approximations introduced during chart compilation. Caution is urged in use of these IENCs or derived products for Navigational planning or operation, or any decisions pertaining to or affecting safety of vessel operation. These initial IENCs are not to be used as replacements for official government chart books, as required in the U.S. Code of Federal Regulations.

  15. d

    Data from: California State Waters Map Series--Offshore of Tomales Point Web...

    • catalog.data.gov
    • search.dataone.org
    • +2more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). California State Waters Map Series--Offshore of Tomales Point Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-offshore-of-tomales-point-web-services
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Tomales Point map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Tomales Point map area data layers. Data layers are symbolized as shown on the associated map sheets.

  16. Michael USGS - WebMap

    • disasters.amerigeoss.org
    • hub.arcgis.com
    Updated Oct 9, 2018
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    GeoPlatform ArcGIS Online (2018). Michael USGS - WebMap [Dataset]. https://disasters.amerigeoss.org/maps/geoplatform::michael-usgs-webmap/about
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    Dataset updated
    Oct 9, 2018
    Dataset provided by
    https://arcgis.com/
    Authors
    GeoPlatform ArcGIS Online
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The map displays data and imagery supporting the U. S. Geological Survey (USGS) response to a national disaster event. This site is provided for USGS situational awareness and resource management. The Map and associated application is an information sharing resource that supports collaborative science between the USGS, its partners and stakeholders.

    Although this application was developed by the USGS, it may contain data and information from a variety of public and published data sources, including non-USGS data. Links and pointers to any non-USGS sites and / or data are provided for information only and do not constitute endorsement, express or implied, by the USGS, U.S. Department of the Interior (DOI), or U.S. Government, of the referenced organizations, their suitability, content, products, functioning, completeness, or accuracy.

    This data and information contained in this map is preliminary and released as a resource for immediate or time-sensitive relevance to public health and safety. This map is not a legal document. Boundaries may be generalized for this map scale. Private lands within government reservations may not be shown. Obtain permission before entering private lands.

    These data and information are provisional and subject to revision. They are being provided to meet the need for timely science support during a natural disaster emergency event. Some data and information has not received final approval by the USGS and are provided on the condition that neither the USGS, other providing agencies nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data. Some data visible within this map may also be accessed for download through the USGS, Hazards Data Distribution System at: http://hddsexplorer,usgs.gov/

    Use Restrictions: There are no use constraints for this data, however, users should be aware that temporal changes may have occurred since this data set was collected and that some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. Acknowledgment of the U.S. Geological Survey would be appreciated for products derived from these data.

    Credit is extended to the following Agencies providing valuable data to this effort:

    US Department of the Interior - United States Geological Survey (USGS)

    U.S. Department of the interior, GIO – Landscape Decision Tool (LDT) / Interior Geographic Information Management System (IGEMS)

    US Department of Homeland Security - Federal Emergency Management Agency (FEMA)

    US Department of Commerce –

    National Oceanic and Atmospheric AdministrationNational Weather Service (NOAA)

    US Department of the Defense - National Geospatial Intelligence Agency (NGA)

    U.S. Department of Agriculture (USDA)

    U.S. Army Corps of Engineers (USACE)

    National Interagency Fire Center (NIFC)

    National Water Information System (NWIS)

    Environmental Systems Research Institute (ESRI)

    US Interagency Elevation InventoryDigitalGlobe - NEXVIEW

  17. c

    National Inventory of Dams

    • geodata.colorado.gov
    • resilience.climate.gov
    • +7more
    Updated Aug 16, 2022
    + more versions
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    Esri U.S. Federal Datasets (2022). National Inventory of Dams [Dataset]. https://geodata.colorado.gov/datasets/a4c195b7a6b74f278ff43e5d60c6915d
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esri U.S. Federal Datasets
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    North Pacific Ocean, Pacific Ocean
    Description

    National Inventory of DamsThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Army Corps of Engineers (USACE), displays dams within the United States, Puerto Rico and Guam. Per the USACE, "The National Inventory of Dams (NID) consists of dams meeting at least one of the following criteria:Dams where downstream flooding would likely result in loss of human life (high hazard potential).Dams where downstream flooding would likely result in disruption of access to critical facilities, damage to public and private facilities, and require difficult mitigation efforts (significant hazard potential).Dams that meet minimum height and reservoir size requirements, even though they do not pose the same level of life or economic risk as those above – these dams are typically equal to or exceed 25 feet in height and exceed 15 acre-feet in storage, or equal to or exceeding 50 acre-feet storage and exceeding 6 feet in height.The NID does not yet contain all dams in the U.S. that meet these criteria. Continued, routine updates to the NID and enhanced data collection efforts, focused on the most reliable data sources (primarily the many federal and state government dam regulatory programs), will help capture these dams and result in a more robust dataset over time."Hoover, Davis & Glen Canyon DamsData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Dams) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 160 (National Inventory of Dams)OGC API Features Link: (National Inventory of Dams - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: National Inventory of DamsSupport Documentation: Reference DocumentsFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Water - Inland Theme Community. Per the Federal Geospatial Data Committee (FGDC), Water - Inland is defined as the "interior hydrologic features and characteristics, including classification, measurements, location, and extent. Includes aquifers, watersheds, wetlands, navigation, water quality, water quantity, and groundwater information."For other NGDA Content: Esri Federal Datasets

  18. Headwaters Ocate Creek Watershed (1108000301) ERDC Inundation Map Book

    • gstore.unm.edu
    Updated Apr 26, 2007
    + more versions
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    United States Army Corps of Engineers (2007). Headwaters Ocate Creek Watershed (1108000301) ERDC Inundation Map Book [Dataset]. https://gstore.unm.edu/apps/rgis/datasets/600f9164-7fa2-40df-832e-cda734017cd6/metadata/ISO-19115:2003.html
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    Dataset updated
    Apr 26, 2007
    Dataset provided by
    United States Army Corps of Engineershttp://www.usace.army.mil/
    Time period covered
    Jul 29, 2022
    Area covered
    West Bound -109.0 East Bound -103.0 North Bound 36.98 South Bound 31.95
    Description

    The flood plains were created using the USACE Engineering Research Development Center – AutoRoute hydraulic modeling software. AutoRoute utilizes a steady-state, normal flow solver, making AutoRoute incapable of assessing some of the more typical, yet complex, hydraulic phenomena, such as backwater effects. The floodplains were developed to rapidly assess the increased flood risk that is generally associated with post-wildfire hydrology or large changes to a watershed from a wildfire. The floodplains are intended to be used as a tool by flood disaster responders and other officials so they can prepare resources for a potential post-wildfire flood event. The limits of flooding shown should only be used as a guideline for emergency planning and response actions. A detailed hydrologic and hydraulic calibration effort was not completed to validate the results of this assessment.

  19. d

    Data from: California State Waters Map Series--Offshore of Santa Cruz Web...

    • datasets.ai
    • data.usgs.gov
    • +1more
    55
    Updated Sep 21, 2024
    + more versions
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    Department of the Interior (2024). California State Waters Map Series--Offshore of Santa Cruz Web Services [Dataset]. https://datasets.ai/datasets/california-state-waters-map-series-offshore-of-santa-cruz-web-services
    Explore at:
    55Available download formats
    Dataset updated
    Sep 21, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Santa Cruz, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Santa Cruz map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Santa Cruz map area data layers. Data layers are symbolized as shown on the associated map sheets.

  20. d

    Data from: Bathymetry hillshade--Offshore of Point Conception Map Area,...

    • datasets.ai
    • data.usgs.gov
    • +2more
    55
    Updated Sep 5, 2024
    + more versions
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    Department of the Interior (2024). Bathymetry hillshade--Offshore of Point Conception Map Area, California [Dataset]. https://datasets.ai/datasets/bathymetry-hillshade-offshore-of-point-conception-map-area-california
    Explore at:
    55Available download formats
    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Point Conception, California
    Description

    This part of DS 781 presents data for bathymetry for several seafloor maps of the Offshore of Point Conception Map Area, California. The vector data file is included in "Bathymetry_OffshorePointConception.zip," which is accessible from https://doi.org/10.5066/F7QN64XQ. These data accompany the pamphlet and map sheets of Johnson, S.Y., Dartnell, P., Cochrane, G.R., Hartwell, S.R., Golden, N.E., Kvitek, R.G., and Davenport, C.W. (S.Y. Johnson and S.A. Cochran, eds.), 2018, California State Waters Map Series—Offshore of Point Conception, California: U.S. Geological Survey Open-File Report 2018–1024, pamphlet 36 p., 9 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20181024. Shaded-relief bathymetry of the Offshore of Point Conception map area in southern California was generated largely from acoustic-bathymetry data collected by Fugro Pelagos Inc. Acoustic mapping was completed in 2008 using a combination of 400-kHz Reson 7125, 240-kHz Reson 8101, and 100-kHz Reson 8111 multibeam echosounders. Bathymetric-lidar data was collected in the nearshore area by the U.S. Army Corps of Engineers (USACE) Joint Lidar Bathymetry Technical Center of Expertise in 2009 and 2010. These mapping missions combine to provide continuous bathymetric data from the shoreline as well as acoustic-backscatter data from about the 10-m isobath to beyond the limit of California's State Waters.

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Department of Homeland Security (2018). U.S. Army Corps of Engineers (USACE) Civil Works Districts [Dataset]. https://data.wu.ac.at/odso/data_gov/OTdiZDhlNGUtMGYwNy00N2I3LWE5YjItY2I3MmQ1NzNmZTk2

U.S. Army Corps of Engineers (USACE) Civil Works Districts

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Dataset updated
Jul 3, 2018
Dataset provided by
Department of Homeland Security
Description

Polygons showing USACE Civil Works District boundaries. This dataset was digitized from the NRCS Watershed Boundary Dataset (WBD). Where districts follow administrative boundaries, such as County and State lines, National Atlas and Census datasets were used. USACE District GIS POCs also submitted data to incorporate into this dataset. This dataset has been simplified +/- 30 feet to reduce file size and speed up drawing time.

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